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Do labor statistics depend on how and to whom the questions are asked ? results from a survey experiment in Tanzania
 
Author:Bardasi, Elena; Beegle, Kathleen; Dillon, Andrew; Serneels, Pieter; Collection Title:Policy Research working paper ; no. WPS 5192Paper is funded by the Knowledge for Change Program (KCP)
Country:Tanzania; Date Stored:2010/01/27
Document Date:2010/01/01Document Type:Policy Research Working Paper
SubTopics:Social Analysis; Work & Working Conditions; Housing & Human Habitats; Labor Markets; Labor PoliciesLanguage:English
Major Sector:Energy and mining; Health and other social services; Finance; TransportationRel. Proj ID:1W-Lsms Iv: Research For Improving Survey Data -- -- P102013;
Region:AfricaReport Number:WPS5192
Sub Sectors:Other social services; Micro- and SME finance; General finance sector; General energy sector; General transportation sectorTF No/Name:TF057207-KCP:; TF092149-PANEL HOUSEHOLD SURVEYS AND AGRICULTURE IN TANZANI; TF053580-NORWEGIAN GRANT FOR GENDER MAINSTREAMING
Volume No:1 of 1  

Summary: Labor market statistics are critical for assessing and understanding economic development. In practice, widespread variation exists in how labor statistics are measured in household surveys in low-income countries. Little is known whether these differences have an effect on the labor statistics they produce. This paper analyzes these effects by implementing a survey experiment in Tanzania that varied two key dimensions: the level of detail of the questions and the type of respondent. Significant differences are observed across survey designs with respect to different labor statistics. Labor force participation rates, for example, vary by as much as 10 percentage points across the four survey assignments. Using a short labor module without screening questions on employment generates lower female labor force participation and lower rates of wage employment for both men and women. Response by proxy rather than self-report yields lower male labor force participation, lower female working hours, and lower employment in agriculture for men. The differences between proxy and self reporting seem to come from information imperfections within the household, especially with the distance in age between respondent and subject playing an important role, while gender and educational differences seem less important.

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